Posts - Page 24
All the articles I've posted, page 24.
- 7 MIN READ•May 28, 2026
Comparing the Top 2026 Agentic Analytics Tools: ThoughtSpot, Databricks, and Tableau
How do ThoughtSpot, Databricks, and Tableau compare as agentic analytics platforms in 2026?
Top Agentic Analytics Tools 2026 - 7 MIN READ•May 28, 2026
Trustworthy AI in the Agentic Lakehouse: Reconciling Concurrency and Isolation Contracts
Hundreds of AI agents querying simultaneously create concurrency and isolation problems. Learn how Iceberg OCC, Dremio FGAC, and guardrail policies ensure.
Trustworthy AI Concurrency Isolation - 8 MIN READ•May 28, 2026
The 2026 Unified Data Architecture: Reconciling Multi-Cloud Data Lakehouses
Multi-cloud data lakehouses in 2026 run on Apache Iceberg, open catalogs, and zero-ETL federation. Here's what a composable, unified architecture looks like.
Unified Data Architecture 2026 - 6 MIN READ•May 28, 2026
Why Traditional Lakehouses Fail AI Agents: The Mathematical Case for the Agentic Lakehouse
Traditional lakehouses expose raw directories and ambiguous schemas to AI agents, causing hallucination.
Why Lakehouses Fail AI Agents - 7 MIN READ•May 28, 2026
The Era of Zero-ETL Federation: Fueling AI Agents with Real-Time Cross-Enterprise Data
Zero-ETL federation lets AI agents join real-time CRM data with historical lakehouse tables instantly.
Zero Etl Federation AI Agents - 13 MIN READ•May 24, 2026
Automating Table Maintenance Before Small Files Accumulate
Learn how Databricks Predictive Optimization, AWS S3 Tables, and Iceberg native actions automate compaction and snapshot management before small files.
Iceberg Table Maintenance AutomationIceberg CompactionSmall Files Lakehouse - 16 MIN READ•May 24, 2026
Choosing the Right Iceberg Control Plane: Polaris vs. Unity Catalog vs. Cloud REST
Choosing an Apache Iceberg catalog? Compare open-source Apache Polaris, open Unity Catalog, and managed cloud REST control planes to unify your lakehouse.
Apache Iceberg CatalogIceberg Rest CatalogApache Polaris - 13 MIN READ•May 24, 2026
Clean Rooms for Privacy-Preserving Analytics
Data clean rooms enable secure multi-party analytics without sharing raw data. Learn how Databricks Clean Rooms, AWS Clean Rooms, and BigQuery.
Data Clean Rooms Privacy-Preserving AnalyticsDatabricks Clean RoomsAws Clean Rooms - 14 MIN READ•May 24, 2026
Building Composable Query Engines with Rust Runtimes
Apache DataFusion, Velox, and Substrait form the foundation of modern composable query engine stacks.
Composable Query Engine DatafusionApache Datafusion RustVelox C++ Engine - 11 MIN READ•May 24, 2026
Data Mesh After the Hype: What Actually Works
Three years after Zhamak Dehghani's original papers, data mesh has proven valuable in specific organizational contexts and impractical in others.
Data Mesh Practical ImplementationData Mesh Reality CheckData Product Thinking - 12 MIN READ•May 24, 2026
How dbt Fusion Reshapes Analytics Engineering
dbt Fusion entered public beta in May 2025 with a Rust-powered runtime that changes how analytics engineers develop, validate, and deploy SQL models.
Dbt Fusion Analytics EngineeringDbt Fusion RustDbt State-Aware Orchestration - 13 MIN READ•May 24, 2026
Using DuckDB and Polars to Query Iceberg Tables
DuckDB 1.4 LTS and Polars streaming engine now both support reading and writing Apache Iceberg tables. Learn how to use them for lakehouse analytics in 2025.
Duckdb Polars IcebergDuckdb Iceberg WritePolars Iceberg Sink